Are the sales of women's clothing and the number of catalogs sent out to customers related? What about the sales of women's clothing and the length of the catalog sent out to customers? Hypotheses: In a brief paragraph, just say your impression of the questions. If you had to make an educated guess, based on your own real-life experience, would you think the relationship between these variables is weak, moderate, or strong? What about the direction? SPSS Analysis: We have a data set with three variables, number of catalogs mailed out to customers (continuous), sales of women's clothing within the catalog (also a continuous variable), and catalog length (dichotomous, with short: 1 and long = 2). Results: Identify the primary goal of these analyses. What is the value of the Pearson's correlation coefficient? Describe the direction and strength of the correlation? Is it significant? How do you know? What is the value of the Point-Biserial correlation? Why do we need to use different types of correlation (Pearson vs. Point Biserial) to answer these questions? Conclusions: Write a brief paragraph about what these findings mean. Think about your original personal hypotheses about the relationship between these variablesdo the results from these analyses agree with what you expected? What can you NOT claim based on these findings (what are some limitations of correlation)? Could there be any other factors responsible for these findings? Correlations Sales of Women's Number of Clothing Catalogs Mailed Sales of Women's Clothing Pearson Correlation 1 531\" Sig. (2-tailed) <.001 n number of catalogs mailed pearson correlation sig. is signicant at the level>